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» Graph-Theoretic Approach to Clustering and Segmentation
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CGF
2010
171views more  CGF 2010»
13 years 4 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
14 years 1 months ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard
ISVC
2010
Springer
13 years 5 months ago
Mitosis Extraction in Breast-Cancer Histopathological Whole Slide Images
Abstract. In this paper, we present a graph-based multi-resolution approach for mitosis extraction in breast cancer histological whole slide images. The proposed segmentation uses ...
Vincent Roullier, Olivier Lezoray, Vinh-Thong Ta, ...
ICPR
2004
IEEE
14 years 9 months ago
Coordinate Systems Reconstruction for Graphical Documents by Hough-feature Clustering and Geometric Analysis
Two-dimensional and three-dimensional coordinate systems are the basic graphics symbols in many graphical documents. A robust coordinate system detection scheme is needed in order...
Chew Lim Tan, Yan Ping Zhou
MICCAI
2008
Springer
14 years 9 months ago
Streamline Flows for White Matter Fibre Pathway Segmentation in Diffusion MRI
We introduce a fibre tract segmentation algorithm based on the geometric coherence of fibre orientations as indicated by a streamline flow model. The inference of local flow approx...
Peter Savadjiev, Jennifer S. W. Campbell, G. Bru...